메뉴 건너뛰기




Volumn 2, Issue , 2004, Pages 633-637

Transient stability assessment using artificial neural network

Author keywords

Backpropagation; Fault location; Lyapunov methods; Neural networks; Pattern recognition; Power system transient stability

Indexed keywords

BACKPROPAGATION; CARRIER COMMUNICATION; EXTRAPOLATION; IMAGE CODING; LARGE SCALE SYSTEMS; LYAPUNOV METHODS; PATTERN RECOGNITION; SIGNAL PROCESSING;

EID: 8644254440     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (6)
  • 3
    • 0022108644 scopus 로고
    • On line secure economy preventive control of power system by pattern recognition
    • August
    • S. Yamashiro, "On line secure economy preventive control of power system by pattern recognition" IEEE Trans. On power systems, vol.1, no.3, pp 214-218, August 1986.
    • (1986) IEEE Trans. on Power Systems , vol.1 , Issue.3
    • Yamashiro, S.1
  • 4
    • 0024621559 scopus 로고
    • A fuzzy pattern recognition approach to power system stability assessment
    • A. V. Machias, "A fuzzy pattern recognition approach to power system stability assessment" Electric power system research, vol. 16, pp. 141-146, 1980.
    • (1980) Electric Power System Research , vol.16 , pp. 141-146
    • Machias, A.V.1
  • 6
    • 0024611597 scopus 로고
    • Artificial neural-net based dynamic security assessment for electric power systems
    • February
    • D. J. Sobajic and Y. H. Pao, "Artificial neural-net based dynamic security assessment for electric power systems" IEEE Trans. On power systems. Vol.4, no.1, pp. 220-225, February 1989.
    • (1989) IEEE Trans. on Power Systems , vol.4 , Issue.1 , pp. 220-225
    • Sobajic, D.J.1    Pao, Y.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.